AI Architect

Company Overview: Avahi is a trusted AWS Advanced Partner that helps businesses transform their operations with cloud-based solutions. We are a dynamic and rapidly growing company known for its vibrant culture and innovative approach. As an emerging player in the industry, we thrive on challenges and seek individuals who are enthusiastic about contributing to our exciting startup journey. We are on the lookout for motivated go-getters who are ready to make a significant impact and be part of a team that values collaboration, creativity, and continuous learning. Role Summary: We are looking for a seasoned AI Architect to join our growing AI & Cloud practice. You will lead the design and implementation of intelligent systems powered by AWS AI services — with a particular focus on Amazon Bedrock, Bedrock Agents, and OpenSearch. You will work closely with clients and cross-functional teams to deliver production-grade AI architectures that are secure, cost-efficient, and enterprise-ready. Key Responsibilities: AI Architecture & Design Architect end-to-end AI/ML solutions leveraging AWS Bedrock foundation models (Anthropic Claude, Amazon Titan, Meta Llama, Mistral, etc.) Design multi-agent orchestration systems using Amazon Bedrock Agents, including agent action groups, knowledge bases, and guardrails Define embedding pipelines, vector indexing strategies, and retrieval patterns for RAG (Retrieval-Augmented Generation) applications Establish semantic and lexical search architectures using Amazon OpenSearch Service (including k-NN vector search and hybrid search) Create architecture blueprints, decision records (ADRs), and technical reference designs for AI platforms AWS Cloud & Platform Engineering Design and implement scalable cloud infrastructure on AWS using services such as Lambda, ECS/EKS, API Gateway, Step Functions, S3, and IAM Integrate Bedrock workflows with AWS data services (Glue, Athena, RDS, DynamoDB) and event-driven pipelines (Kinesis, SQS, EventBridge) Implement security best practices including VPC isolation, PrivateLink, KMS encryption, and fine-grained IAM policies for AI workloads Drive infrastructure-as-code practices using AWS CDK, CloudFormation, or Terraform Technical Leadership Act as the primary AI/ML architecture advisor to clients, translating business needs into actionable technical roadmaps Lead proof-of-concept (PoC) development for AI features and present findings to engineering and executive stakeholders Mentor development teams on prompt engineering, model evaluation, LLM fine-tuning, and responsible AI practices Conduct architecture reviews and ensure adherence to AWS Well-Architected Framework principles Collaboration & Delivery Collaborate with product managers, data scientists, and software engineers throughout the software development lifecycle Define and track AI solution KPIs including latency, accuracy, retrieval relevance, cost-per-query, and model…